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Multiresolution Kernel Approximation for Gaussian Process Regression
Yi Ding, Risi Kondor, Jonathan Eskreis-Winkler
Gaussian process regression generally does not scale to beyond a few thousands data points without applying some sort of kernel approximation method. Most approximations focus on t…
A generic multiresolution preconditioner for sparse symmetric systems
Pramod Kaushik Mudrakarta, Risi Kondor
We introduce a new general purpose multiresolution preconditioner for symmetric linear systems. Most existing multiresolution preconditioners use some standard wavelet basis that r…
The Incremental Multiresolution Matrix Factorization Algorithm
Vamsi K. Ithapu, Risi Kondor, Sterling C. Johnson +1
Multiresolution analysis and matrix factorization are foundational tools in computer vision. In this work, we study the interface between these two distinct topics and obtain techn…